Functionality for performing a principled reference analysis in the Bayesian normalnormal hierarchical model used for Bayesian metaanalysis, as described in Ott, Plummer and Roos (2021, "How vague is vague? How informative is informative? Reference analysis for Bayesian metaanalysis", under minor revision for Statistics in Medicine). Computes a reference posterior, induced by a minimally informative improper reference prior for the betweenstudy (heterogeneity) standard deviation. Determines additional proper anticonservative (and conservative) prior benchmarks. Includes functions for reference analyses at both the posterior and the prior level, which, given the data, quantify the informativeness of a heterogeneity prior of interest relative to the minimally informative reference prior and the proper prior benchmarks. The functions operate on data sets which are compatible with the 'bayesmeta' package.
Package details 


Author  Manuela Ott [aut, cre], Malgorzata Roos [aut] 
Maintainer  Manuela Ott <manuela.c.ott@gmail.com> 
License  GPL (>= 2) 
Version  1.07 
Package repository  View on CRAN 
Installation 
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